AIMC Topic: Biometric Identification

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Giant Panda Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 12, 2021
The lack of automatic tools to identify giant panda makes it hard to keep track of and manage giant pandas in wildlife conservation missions. In this paper, we introduce a new Giant Panda Identification (GPID) task, which aims to identify each indivi...
Algorithms Animals Machine Learning Pattern Recognition, Automated Biometric Identification Ursidae Image Processing, Computer-Assisted Video Recording
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Condition-Aware Comparison Scheme for Gait Recognition.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 12, 2021
As an important and challenging problem, gait recognition has gained considerable attention. It suffers from confounding conditions, that is, it is sensitive to camera views, dressing types and so on. Interestingly, it is observed that, under differe...
Machine Learning Algorithms Databases, Factual Humans Biometric Identification Female Image Processing, Computer-Assisted Male Gait
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Deep Coattention-Based Comparator for Relative Representation Learning in Person Re-Identification.

IEEE transactions on neural networks and learning systems Feb 4, 2021
Person re-identification (re-ID) favors discriminative representations over unseen shots to recognize identities in disjoint camera views. Effective methods are developed via pair-wise similarity learning to detect a fixed set of region features, whi...
Reproducibility of Results Deep Learning Algorithms Databases, Factual Humans Attention Artificial Intelligence Automated Facial Recognition Image Processing, Computer-Assisted Neural Networks, Computer Software Biometric Identification Benchmarking
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An End-to-End Foreground-Aware Network for Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jan 21, 2021
Person re-identification is a crucial task of identifying pedestrians of interest across multiple surveillance camera views. For person re-identification, a pedestrian is usually represented with features extracted from a rectangular image region tha...
Biometric Identification Pedestrians Video Recording Humans Algorithms Image Processing, Computer-Assisted Machine Learning
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Bidirectional Interaction Network for Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jan 20, 2021
Person re-identification (ReID) task aims to retrieve the same person across multiple spatially disjoint camera views. Due to huge image changes caused by various factors such as posture variation and illumination transformation, images of different ...
Neural Networks, Computer Databases, Factual Biometric Identification Image Processing, Computer-Assisted Humans
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Multi-Domain Adversarial Feature Generalization for Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jan 11, 2021
With the assistance of sophisticated training methods applied to single labeled datasets, the performance of fully-supervised person re-identification (Person Re-ID) has been improved significantly in recent years. However, these models trained on a ...
Image Processing, Computer-Assisted Video Recording Machine Learning Algorithms Biometric Identification Humans
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Joint Person Objectness and Repulsion for Person Search.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Dec 4, 2020
Person search targets to search the probe person from the unconstrainted scene images, which can be treated as the combination of person detection and person matching. However, the existing methods based on the Detection-Matching framework ignore the...
Neural Networks, Computer Image Processing, Computer-Assisted Humans Biometric Identification Video Recording Pattern Recognition, Automated
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Identifications and classifications of human locomotion using Rayleigh-enhanced distributed fiber acoustic sensors with deep neural networks.

Scientific reports Dec 3, 2020
This paper reports on the use of machine learning to delineate data harnessed by fiber-optic distributed acoustic sensors (DAS) using fiber with enhanced Rayleigh backscattering to recognize vibration events induced by human locomotion. The DAS used ...
Biometric Identification Machine Learning Fiber Optic Technology Acoustics Locomotion Humans
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Stacking-Based Deep Neural Network: Deep Analytic Network for Pattern Classification.

IEEE transactions on cybernetics Dec 3, 2020
Stacking-based deep neural network (S-DNN) is aggregated with pluralities of basic learning modules, one after another, to synthesize a deep neural network (DNN) alternative for pattern classification. Contrary to the DNNs trained from end to end by ...
Pattern Recognition, Automated Humans Biometric Identification Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Face Databases, Factual
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Bidirectional Attention for Text-Dependent Speaker Verification.

Sensors (Basel, Switzerland) Nov 27, 2020
Automatic speaker verification provides a flexible and effective way for biometric authentication. Previous deep learning-based methods have demonstrated promising results, whereas a few problems still require better solutions. In prior works examini...
Biometric Identification Neural Networks, Computer Algorithms
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